Blog
Solving submodule pointer git rebase conflicts
Sliding window Hilbert transform: A derivation
How to build NumPy from source with Intel MKL: Instructions for Ubuntu
How to print floating-point numbers: A review of the Dragon 2 algorithm
GitHub Repositories
Repository of this website
Odin Bindings for the C library FFTW3 (Fastest Fourier Transform in the West)
A command line tool written in Odin to search for files and file contents using regex patterns
A wrapper around Python’s timeit module to compare function execution times
Generalized Memory Polynomials
A Python implementation of generalized memory polynomials
Gaussian Mixture Model Estimator
A GMM-based estimator for complex-valued linear inverse problems
Papers
- 2023, N. Turan, B. Fesl, M. Koller, M. Joham, W. Utschick, “A versatile low-complexity feedback scheme for FDD systems via generative modeling”, IEEE Transactions on Wireless Communications
- 2023, B. Fesl, M. Koller, W. Utschick, “On the mean square error optimal estimator in one-bit quantized systems”, IEEE Transactions on Signal Processing
- 2022, M. Koller, B. Fesl, N. Turan, W. Utschick, “An asymptotically MSE-optimal estimator based on Gaussian mixture models”, IEEE Transactions on Signal Processing
- 2022, M. Koller, B. Fesl, N. Turan, W. Utschick, “An asymptotically optimal approximation of the conditional mean channel estimator based on Gaussian mixture models”, IEEE ICASSP
- 2022, B. Fesl, M. Joham, S. Hu, M. Koller, N. Turan, W. Utschick, “Channel estimation based on Gaussian mixture models with structured covariances”, IEEE Asilomar
- 2022, M. Koller, “Asymptotically optimal channel estimation and learning suitable compressive sensing matrices”, Dissertation
- 2022, M. Baur, M. Würth, M. Koller, V. Andrei, W. Utschick, “CSI clustering with variational autoencoding”, IEEE ICASSP
- 2022, N. Turan, B. Fesl, M. Grundei, M. Koller, W. Utschick, “Evaluation of a Gaussian mixture model-based channel estimator using measurement data”, IEEE ISWCS
- 2022, O. De Candido, M. Koller, W. Utschick, “Encouraging validatable features in machine learning-based highly automated driving functions”, IEEE Transactions on Intelligent Vehicles
- 2022, N. Turan, M. Koller, B. Fesl, S. Bazzi, W. Xu, W. Utschick, “GMM-based codebook construction and feedback encoding in FDD systems”, IEEE Asilomar
- 2022, M. Koller, W. Utschick, “Learning a compressive sensing matrix with structural constraints via maximum mean discrepancy optimization”, Elsevier Signal Processing
- 2022, M. Baur, B. Fesl, M. Koller, W. Utschick, “Variational autoencoder leveraged MMSE channel estimation”, IEEE Asilomar
- 2021, B. Fesl, N. Turan, M. Koller, W. Utschick, “A low-complexity MIMO channel estimator with implicit structure of a convolutional neural network”, IEEE SPAWC
- 2021, B. Fesl, N. Turan, M. Koller, M. Joham, W. Utschick, “Centralized learning of the distributed downlink channel estimators in FDD systems using uplink data”, VDE WSA
- 2021, N. Turan, M. Koller, V. Rizzello, B. Fesl, S. Bazzi, W. Xu, W. Utschick, “On distributional invariances between downlink and uplink MIMO channels”, VDE WSA
- 2021, N. Turan, M. Koller, W. Utschick, “One-bit quantized channel prediction with neural networks”, IEEE PIMRC
- 2021, N. Turan, M. Koller, S. Bazzi, W. Xu, W. Utschick, “Unsupervised learning of adaptive codebooks for deep feedback encoding in FDD systems”, IEEE Asilomar
- 2020, B. Fesl, M. Koller, N. Turan, W. Utschick, “Learning a low-complexity channel estimator for one-bit quantization”, IEEE Asilomar
- 2020, O. De Candido, M. Koller, O. Gallitz, R. Melz, M. Botsch, W. Utschick, “Towards feature validation in time to lane change classification using deep neural networks”, IEEE ITSC
- 2019, M. Koller, J. Feldmaier, K. Diepold, “A comparison of prediction algorithms and nexting for short term weather forecasts”, arXiv
- 2019, C. Hellings, A. Dehmani, S. Wesemann, M. Koller, W. Utschick, “Evaluation of neural-network-based channel estimators using measurement data”, VDE WSA
- 2019, M. Koller, C. Hellings, W. Utschick, “Learning-based channel estimation for various antenna array configurations”, IEEE SPAWC
- 2018, M. Koller, T. Wiese, W. Utschick, “A generalized hard thresholding pursuit on infinite unions of subspaces”, VDE WSA
- 2018, M. Koller, J. Großmann, U. Mönich, H. Boche, “Deformation stability of deep convolutional neural networks on Sobolev spaces”, IEEE ICASSP
- 2018, M. Koller, C. Hellings, M. Knödlseder, T. Wiese, D. Neumann, W. Utschick, “Machine learning for channel estimation from compressed measurements”, IEEE ISWCS
- 2018, J. Großmann, M. Koller, U. Mönich, H. Boche, “Shift invariance and deformation error properties of deep convolutional neural networks based on wavelets”, IEEE SPAWC
- 2015, C. Hellings, M. Koller, W. Utschick, “An impropriety test based on block-skew-circulant matrices”, VDE WSA